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Title: a comprehensive review of recent research trends on uavs.

Abstract: The growing interest in unmanned aerial vehicles (UAVs) from both scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subdomains within UAV research, newcomers may find themselves overwhelmed by the numerous options available. It is therefore crucial for those involved in UAV research to recognize its interdisciplinary nature and its connections with other disciplines. This paper presents a comprehensive overview of the UAV field, highlighting recent trends and advancements. Drawing on recent literature reviews and surveys, the review begins by classifying UAVs based on their flight characteristics. It then provides an overview of current research trends in UAVs, utilizing data from the Scopus database to quantify the number of scientific documents associated with each research direction and their interconnections. The paper also explores potential areas for further development in UAVs, including communication, artificial intelligence, remote sensing, miniaturization, swarming and cooperative control, and transformability. Additionally, it discusses the development of aircraft control, commonly used control techniques, and appropriate control algorithms in UAV research. Furthermore, the paper addresses the general hardware and software architecture of UAVs, their applications, and the key issues associated with them. It also provides an overview of current open-source software and hardware projects in the UAV field. By presenting a comprehensive view of the UAV field, this paper aims to enhance understanding of this rapidly evolving and highly interdisciplinary area of research.

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Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions

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UAV Path Planning Using Optimization Approaches: A Survey

• Survey article
• Published: 18 April 2022
• Volume 29 , pages 4233–4284, ( 2022 )

Cite this article

• Amylia Ait Saadi 1 , 2 ,
• Assia Soukane 3 ,
• Yassine Meraihi   ORCID: orcid.org/0000-0002-3735-7797 1 ,
• Asma Benmessaoud Gabis 4 ,
• Seyedali Mirjalili 5 , 6 &
• Amar Ramdane-Cherif 2  

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Path planning is one of the most important steps in the navigation and control of Unmanned Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations from a starting point (source) to a destination one (target) for autonomous UAVs while meeting requirements related to UAV characteristics and the serving area. In this paper, we present an overview of UAV path planning approaches classified into five main categories including classical methods, heuristics, meta-heuristics, machine learning, and hybrid algorithms. For each category, a critical analysis is given based on targeted objectives, considered constraints, and environments. In the end, we suggest some highlights and future research directions for UAV path planning.

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Acknowledgements

This work is supported by the Directorate General for Scientific Research and Technological Development (DG-RSDT) of Algeria; and the “ADI 2021” project funded by the IDEX Paris-Saclay, ANR-11-IDEX-0003-02.

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Assia Soukane

Laboratoire de Méthodes de Conception de Systèmes, Ecole nationale Supérieure d’Informatique, Algiers, Algeria

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Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Fortitude Valley, Brisbane, Fortitude Valley, QLD, 4006, Australia

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A: Appendix

In the present appendix, we gather in a table the set of acronyms used in this paper and their meanings.

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Ait Saadi, A., Soukane, A., Meraihi, Y. et al. UAV Path Planning Using Optimization Approaches: A Survey. Arch Computat Methods Eng 29 , 4233–4284 (2022). https://doi.org/10.1007/s11831-022-09742-7

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Received : 30 January 2021

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DOI : https://doi.org/10.1007/s11831-022-09742-7

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